151 to 175 of 286 Remote/Hybrid Risk Assessment Jobs

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility. Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning ...

techniques like MoSCoW, interviews, and facilitated workshops. End-to-End Analysis: Lead the analysis phase of projects across both Agile and Waterfall methodologies. Impact & Risk Assessment: Evaluate the time, cost, and effort of changes. Conduct structured analysis (flow diagrams, data models, integration use cases) to map out dependencies ...

management Ship and operate secure, high‐reliability services using Infrastructure‐as‐Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex multi‐cloud environments Mentor engineers and contribute to hiring and growth of the Security team ...

grow a small team of analysts as the product scales. What Youll Do Partner with Data Science to challenge and stress-test credit risk modelling assumptions for our SME customers (including scenario and sensitivity testing), ensuring decisions are robust and explainable. Leverage market insights and publicly available data … modelling and decisions. Develop forward-looking views of expected loss, repayment failures, delinquency transitions, and write-offs, and creating feedback loops with product/risk decisions. Working closely with regional teams to inform our market launch strategy Own the Credit analytics data strategy: define the roadmap for the datasets ...

board detailing financial crime controls Acting as a primary point of contact for the FCA Advising senior management on the impact of financial crime risk Design and update the Enterprise Risk Assessment (ERA) KYC due dilligence Execute asset freezing protocols Transaction monitoring Supervising internal controls for detecting ...

design and launch new products and services in Payments and Consumer Credit (such as BNPL), integrating basic technical and engineering considerations into legal analysis. Risk assessment & management – Identify legal and regulatory risks, proposing effective mitigation strategies aligned with our risk appetite to safeguard the organisation. Regulatory compliance … both private practice and in-house settings. Analytical mindset – Ability to dive deep into complex legal issues, exercise strong judgment, and make sound risk-based decisions. Technical and commercial awareness – Clear understanding of basic technology and engineering processes in Fintech, Payments, and consumer lending, with prior experience working with ...

full. About the team The Financial Crimes Compliance team builds and oversees Airwallex’s global financial crime framework across AML/CTF, sanctions, risk assessment, FCC operations, monitoring and testing, and investigations. The team works closely with Product, Operations, Risk, Regulatory Legal & Compliance, and regional MLROs … PRINCE2. Preferred qualifications: Experience in fintech, payments, or digital banking, ideally in fast-moving, global environments. Background in consulting, regulatory remediation, or large-scale risk and compliance change. Strong proficiency with program tools, dashboards, and executive reporting. Equal opportunity Airwallex is proud to be an equal opportunity employer. ...

full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market landscapes, trends, and dynamics to translate high- level plans into targeted sales activities … channels. Collaborate cross-functionally to differentiate our offerings for insurance applications Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. ...

UK. Candidates that require sponsorship will still be considered. Applicants need to possess the following skills : ServiceNow - 5years+ ESSENTIAL ServiceNow IRM Development & Configuration, Advanced Risk, Audit Management, Policy and Compliance Management, Vendor RiskManagement (VRM), Regulatory Change Management, and Business Continuity Management (BCM). ServiceNow certified Degree Excellent communication …/or consultancy skills ServiceNow IRM BFSI Risk & Compliance domain, GRC ServiceNow CSA, CAD, CIS-GRC Role responsibilities The role will involvedesign, pre-sales, ServiceNow IRM Development & Configuration, leadingthe development, configuration, and customization of IRM. Design and build IRM workflows, scoring methodologies, entity scoping, and Risk Assessment ...

expectations and contractual commitments. The CCM/Export SME is responsible for ensuring the delivery and commercial risks are understood with specific responsibility for assessment and management of export compliance.The role provides expert input to bids and delivery on export risks, export licensing requirements and compliance management. … across ERD UK and provide expert guidance on compliance with UK export and import controls and applicable US EAR and ITAR requirements.2. **Classification and risk assessment:** Support the export classification of contract deliverables and identify export-control risks throughout the bid, contracting and delivery lifecycle.3. **Compliance planning:** Manage ...